Adult Coverage and Intent

COVIDVaxView

COVID-19 Vaccination Coverage and Intent for Vaccination, Adults 18 Years and Older, United States

Weekly estimates of COVID-19 vaccination coverage and intent for vaccination among adults are calculated using data from the National Immunization Survey-Adult COVID Module (NIS-ACM). The NIS-ACM is an ongoing random-digit-dial cellular telephone survey of households with adults 18 years and older. All estimates are based upon self-reported receipt of vaccination and month of that vaccination.

The National Immunization Survey posted on the dashboard below is currently a few days behind the data that is posted on the Weekly Viral Respiratory Illness Snapshot. This lag is due to the time it takes to conduct the analysis by geographic and sociodemographic characteristics and summarize the findings.

  • Figure 3A. Cumulative Percentage of Adults 18 Years and Older Vaccinated with the Updated 2023-24 COVID-19 Vaccine*,†,‡,±. Data Source: National Immunization Survey–Adult COVID Module.
  • Figure 3B. Weekly Intent§ for Vaccination and Cumulative Percentage of Adults 18 Years and Older Vaccinated with the Updated 2023-2024 COVID-19 Vaccine*,†,‡,±. Data Source: National Immunization Survey–Adult COVID Module.
  • Figure 3C. Weekly Cumulative Updated 2023-24 COVID-19 Vaccination Coverage†,‡ by Jurisdiction, Adults 18 years and older, United States. Data Source: National Immunization Survey–Adult COVID Module.
  • Figure 3D. Differences in Cumulative Updated 2023-24 COVID-19 Vaccination Coverage*,†,‡,± by Selected Demographics, Adults 18 years and older, United States. Data Source: National Immunization Survey–Adult COVID Module.

Note: Confidence Intervals (CI) describe the level of uncertainty around an estimate because a sample was taken. 95% CIs represent the range of values that would result if the data collection had been repeated many times. For a 95% confidence interval, if the sampling method is repeated many times, the true value would fall within this interval at least 95% of the time. Wider CIs reflect larger random error in estimates resulting from survey sampling.

Estimates from the NIS-ACM may differ from estimates based on other data sources, and in addition to random error associated with taking a sample, are subject to errors resulting from incomplete sample frame (exclusion of households without cell phones), selection bias (survey respondents may be more likely to be vaccinated than non-respondents), and errors in self reported vaccination status. Estimates are weighted to selected sociodemographic characteristics of the U.S. population to reduce possible bias from incomplete sample frame and selection bias.

*National estimates include 50 states, Washington D.C., Puerto Rico, and U.S. Virgin Islands. The Office of Intergovernmental and External Affairs hosts 10 Regional Offices that directly serve state and local organizations; information about Regions and which states are included in each region is available.

Vaccination coverage with the updated 2023-24 COVID-19 vaccine is defined as receipt of at least one vaccination since September 14, 2023. Vaccination coverage estimates are based on all interviews through the current week and represent approximately the cumulative percent vaccinated by mid-week. Each week, estimates for prior weeks are recalculated using the additional interviews conducted that week (combined with all previous interviews).

Cumulative vaccination coverage estimates are suppressed when the cumulative sample size is <30 or current week sample size is <5. Vaccination intent estimates for a given week are suppressed when the sample size for that week is <30.

§Estimates for vaccination intent are based on interviews conducted during that week and are adjusted to the cumulative vaccination coverage estimate for that week.

±The ‘Multiple or Other Races, Non-Hispanic’ category includes non-Hispanic persons who selected multiple races or a race other than American Indian/Alaskan Native, Asian, Black, Native Hawaiian or other Pacific Islander, or White.